Table 4.

Results of logistic regression and system GMM

Panel A. Logistic regressionPanel B. System GMM
VariablesE(Sign)Model IModel IIVariablesModel IModel II
FS Ratio+0.015***
(0.002)
1.015
0.016***
(0.002)
1.016
Foreign Sales (FS)0.00002***
(0.00007)
0.00003***
(0.00001)
LnTFCF+0.152***
(0.018)
1.164
 LnTFCF0.00020***
(0.00005)
 
LnnFCF  0.124***
(0.017)
1.132
LnNFCF 0.00012**
(0.00005)
SHA0.373**
(0.154)
1.452
0.362**
(0.154)
1.437
SHA−0.00055
(0.00060)
−0.00021
(0.00060)
Control      
LnTA+0.502***
(0.044)
1.652
0.528***
(0.04)
1.696
LnTA−0.00016
(0.00016)
−0.00021
(0.00015)
MTBV+0.065***
(0.019)
1.067
0.072***
(0.019)
1.075
MTBV0.00013***
(0.00004)
0.00013***
(0.000039)
ICR0.003
(0.003)
1.003
0.002
(0.003)
1.002
ICR0.00003***
(0.00001)
0.00003***
(0.00001)
SR+−0.225***
(0.074)
0.798
−0.214***
(0.074)
0.807
SR−0.00041***
(0.00015)
−0.00035**
(0.00016)
    NV/TA (−1)0.69980***
(0.00434)
0.69951***
(0.00421)
Diagnostic tests
Hosmer and Lemeshow0.6710.624No of Instruments112112
Area under ROC curve0.8390.832No of Groups250250
Pseudo R20.2650.253AR20.7630.765
Likelihood Ratio (p-value)0.0000.000Hansen test0.9290.904
   Diff-in-Hansen test0.8980.912
   Wald test0.0000.000

Notes:

For definitions of variables, refer to Table 1. In all models, N = 2,250 firm-year observations. In Panel A, the dependent variable is a binary variable HS, and figures in each cell correspond to the coefficient value, standard errors in parenthesis and odds ratio. In Panel B, the dependent variable is the notional value ratio (NV/TA), and figures in each cell correspond to the coefficients and standard errors in parenthesis. ROC stands for the receiver operating characteristic. Asterisks ***, ** and * indicate significant at 1, 5 and 10% levels, respectively

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